hopsy.Rosenbrock.compute_expected_fisher_information#
- Rosenbrock.compute_expected_fisher_information(self, x)#
- deprecated:: 1.4
Use
log_curvature()instead.
- Parameters:
x (numpy.ndarray[float64[2n,1]]) – Input vector
- Returns:
The expected Fisher information matrix
- Return type:
numpy.ndarray[float64[2n,2n]]